OpenML
Supervised Classification on wilt

Supervised Classification on wilt

Task 9889 Supervised Classification wilt 59008 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.983, kappa: 0.8314, kb_relative_information_score: 2638.851, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9829, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.3068, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.519, scimark_benchmark: 1872.8797, usercpu_time_millis: 17.679, usercpu_time_millis_testing: 0.67, usercpu_time_millis_training: 17.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.981, kappa: 0.813, kb_relative_information_score: 3221.9484, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9809, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.5437, scimark_benchmark: 1873.4078, usercpu_time_millis: 11.369, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 10.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9198, kb_relative_information_score: -239.2709, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.7889, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.8227, scimark_benchmark: 1876.7581, usercpu_time_millis: 9.349, usercpu_time_millis_testing: 0.841, usercpu_time_millis_training: 8.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.9198, kb_relative_information_score: -5180.4489, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9527, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.9778, scimark_benchmark: 1869.6309, usercpu_time_millis: 18.632, usercpu_time_millis_testing: 1.15, usercpu_time_millis_training: 17.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9826, kappa: 0.8273, kb_relative_information_score: 2684.5569, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9825, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.2937, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.5171, scimark_benchmark: 1877.7472, usercpu_time_millis: 17.531, usercpu_time_millis_testing: 0.636, usercpu_time_millis_training: 16.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9823, kappa: 0.822, kb_relative_information_score: 2871.4242, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9822, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4897, scimark_benchmark: 1861.932, usercpu_time_millis: 9.489, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 9.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9685, kappa: 0.6756, kb_relative_information_score: 1123.5566, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.968, predictive_accuracy: 0.9702, prior_entropy: 0.3037, recall: 0.9702, relative_absolute_error: 0.5337, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.6902, scimark_benchmark: 1872.7767, usercpu_time_millis: 13.417, usercpu_time_millis_testing: 0.613, usercpu_time_millis_training: 12.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9624, kappa: 0.5782, kb_relative_information_score: 1409.7868, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9685, predictive_accuracy: 0.9684, prior_entropy: 0.3037, recall: 0.9684, relative_absolute_error: 0.5779, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.6711, scimark_benchmark: 1871.8506, usercpu_time_millis: 11.255, usercpu_time_millis_testing: 1.211, usercpu_time_millis_training: 10.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9643, kappa: 0.6027, kb_relative_information_score: 1476.3727, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9689, predictive_accuracy: 0.9694, prior_entropy: 0.3037, recall: 0.9694, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.6517, scimark_benchmark: 1875.3104, usercpu_time_millis: 6.446, usercpu_time_millis_testing: 0.491, usercpu_time_millis_training: 5.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 5.2084, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1871.9601, usercpu_time_millis: 6.207, usercpu_time_millis_testing: 1.043, usercpu_time_millis_training: 5.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.9198, kb_relative_information_score: -14.398, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1821.2227, usercpu_time_millis: 2.459, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 2.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9827, kappa: 0.8256, kb_relative_information_score: 2768.6691, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9826, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.498, scimark_benchmark: 1870.9768, usercpu_time_millis: 13.787, usercpu_time_millis_testing: 0.676, usercpu_time_millis_training: 13.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9198, kb_relative_information_score: -1236.808, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.213, root_relative_squared_error: 0.9427, scimark_benchmark: 1869.6309, usercpu_time_millis: 9.731, usercpu_time_millis_testing: 1.183, usercpu_time_millis_training: 8.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.972, kappa: 0.7019, kb_relative_information_score: 1970.1229, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9732, predictive_accuracy: 0.9746, prior_entropy: 0.3037, recall: 0.9746, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.5868, scimark_benchmark: 1860.1552, usercpu_time_millis: 8.3, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 7.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9813, kappa: 0.8105, kb_relative_information_score: 2761.3648, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9813, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.5029, scimark_benchmark: 1871.5565, usercpu_time_millis: 3.373, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 3.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9816, kappa: 0.8119, kb_relative_information_score: 2659.7141, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9817, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.5143, scimark_benchmark: 1840.5082, usercpu_time_millis: 19.563, usercpu_time_millis_testing: 1.095, usercpu_time_millis_training: 18.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9644, kappa: 0.6044, kb_relative_information_score: 1763.3724, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9693, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.526, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.6363, scimark_benchmark: 1844.6953, usercpu_time_millis: 19.822, usercpu_time_millis_testing: 1.915, usercpu_time_millis_training: 17.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9828, kappa: 0.8263, kb_relative_information_score: 2822.6081, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9826, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.4933, scimark_benchmark: 1847.1538, usercpu_time_millis: 18.173, usercpu_time_millis_testing: 0.777, usercpu_time_millis_training: 17.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9728, kappa: 0.7166, kb_relative_information_score: 1928.9506, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9729, predictive_accuracy: 0.9746, prior_entropy: 0.3037, recall: 0.9746, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.5914, scimark_benchmark: 1872.9496, usercpu_time_millis: 3.423, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 3.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.97, kappa: 0.6736, kb_relative_information_score: 2081.9745, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.973, predictive_accuracy: 0.9735, prior_entropy: 0.3037, recall: 0.9735, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.5983, scimark_benchmark: 1873.1693, usercpu_time_millis: 7.492, usercpu_time_millis_testing: 0.587, usercpu_time_millis_training: 6.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9698, kappa: 0.6825, kb_relative_information_score: 1634.5434, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.97, predictive_accuracy: 0.9721, prior_entropy: 0.3037, recall: 0.9721, relative_absolute_error: 0.4801, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.142, root_relative_squared_error: 0.6288, scimark_benchmark: 1847.1538, usercpu_time_millis: 18.343, usercpu_time_millis_testing: 1.055, usercpu_time_millis_training: 17.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9576, kappa: 0.5174, kb_relative_information_score: 837.118, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9649, predictive_accuracy: 0.9651, prior_entropy: 0.3037, recall: 0.9651, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.7185, scimark_benchmark: 1868.6447, usercpu_time_millis: 10.415, usercpu_time_millis_testing: 0.93, usercpu_time_millis_training: 9.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9832, kappa: 0.8319, kb_relative_information_score: 2745.1475, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.983, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.5044, scimark_benchmark: 1875.6591, usercpu_time_millis: 7.544, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 7.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.9198, kb_relative_information_score: -1148.8612, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.9763, scimark_benchmark: 1862.0703, usercpu_time_millis: 3.237, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 2.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.9681, kappa: 0.6687, kb_relative_information_score: 909.7456, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9676, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.7213, scimark_benchmark: 1871.0879, usercpu_time_millis: 11.431, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 10.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9809, kappa: 0.8054, kb_relative_information_score: 2436.8752, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9808, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.3358, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.5298, scimark_benchmark: 1868.5777, usercpu_time_millis: 7.087, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 6.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9619, kappa: 0.573, kb_relative_information_score: 1084.051, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9672, predictive_accuracy: 0.9678, prior_entropy: 0.3037, recall: 0.9678, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.6919, scimark_benchmark: 1862.1704, usercpu_time_millis: 9.891, usercpu_time_millis_testing: 0.872, usercpu_time_millis_training: 9.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9694, kappa: 0.6757, kb_relative_information_score: 1097.429, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9701, predictive_accuracy: 0.9721, prior_entropy: 0.3037, recall: 0.9721, relative_absolute_error: 0.5481, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.6891, scimark_benchmark: 1861.5394, usercpu_time_millis: 2.458, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 2.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9677, kappa: 0.6481, kb_relative_information_score: 1246.7244, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9702, predictive_accuracy: 0.9715, prior_entropy: 0.3037, recall: 0.9715, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.6746, scimark_benchmark: 1869.7037, usercpu_time_millis: 10.293, usercpu_time_millis_testing: 1.004, usercpu_time_millis_training: 9.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9198, kb_relative_information_score: -16.5301, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1863.0965, usercpu_time_millis: 1.177, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 1.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.9198, kb_relative_information_score: -1967.7299, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.884, scimark_benchmark: 1872.9496, usercpu_time_millis: 1.728, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 1.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9756, kappa: 0.7396, kb_relative_information_score: 2420.8672, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9775, predictive_accuracy: 0.9779, prior_entropy: 0.3037, recall: 0.9779, relative_absolute_error: 0.403, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.5582, scimark_benchmark: 1870.1619, usercpu_time_millis: 6.81, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 6.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9845, kappa: 0.8451, kb_relative_information_score: 3081.356, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9843, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2464, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.4757, scimark_benchmark: 1868.6447, usercpu_time_millis: 10.343, usercpu_time_millis_testing: 0.528, usercpu_time_millis_training: 9.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9696, kappa: 0.6808, kb_relative_information_score: 1336.2999, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9697, predictive_accuracy: 0.9719, prior_entropy: 0.3037, recall: 0.9719, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.6577, scimark_benchmark: 1876.7581, usercpu_time_millis: 12.918, usercpu_time_millis_testing: 0.899, usercpu_time_millis_training: 12.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9633, kappa: 0.5897, kb_relative_information_score: 1263.1779, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9685, predictive_accuracy: 0.9688, prior_entropy: 0.3037, recall: 0.9688, relative_absolute_error: 0.582, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.152, root_relative_squared_error: 0.6728, scimark_benchmark: 1873.9908, usercpu_time_millis: 7.882, usercpu_time_millis_testing: 0.774, usercpu_time_millis_training: 7.108,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9744, kappa: 0.7498, kb_relative_information_score: 2156.5912, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9745, predictive_accuracy: 0.9744, prior_entropy: 0.3037, recall: 0.9744, relative_absolute_error: 0.4033, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.6258, scimark_benchmark: 1848.8886, usercpu_time_millis: 26.982, usercpu_time_millis_testing: 1.161, usercpu_time_millis_training: 25.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9785, kappa: 0.7756, kb_relative_information_score: 2281.2938, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9792, predictive_accuracy: 0.98, prior_entropy: 0.3037, recall: 0.98, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.5503, scimark_benchmark: 1865.6428, usercpu_time_millis: 28.268, usercpu_time_millis_testing: 1.815, usercpu_time_millis_training: 26.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9821, kappa: 0.8171, kb_relative_information_score: 2850.8909, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9822, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.3029, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.113, root_relative_squared_error: 0.5004, scimark_benchmark: 1865.6416, usercpu_time_millis: 46.416, usercpu_time_millis_testing: 2.75, usercpu_time_millis_training: 43.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9637, kappa: 0.5954, kb_relative_information_score: 1365.59, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9685, predictive_accuracy: 0.969, prior_entropy: 0.3037, recall: 0.969, relative_absolute_error: 0.5663, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.6607, scimark_benchmark: 1760.5562, usercpu_time_millis: 24.362, usercpu_time_millis_testing: 1.993, usercpu_time_millis_training: 22.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9778, kappa: 0.7851, kb_relative_information_score: 2330.2187, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9781, predictive_accuracy: 0.9775, prior_entropy: 0.3037, recall: 0.9775, relative_absolute_error: 0.3492, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.5829, scimark_benchmark: 1872.9496, usercpu_time_millis: 32.015, usercpu_time_millis_testing: 1.042, usercpu_time_millis_training: 30.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9839, kappa: 0.8397, kb_relative_information_score: 3139.2762, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9837, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2452, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.4847, scimark_benchmark: 1864.6011, usercpu_time_millis: 32.257, usercpu_time_millis_testing: 1.766, usercpu_time_millis_training: 30.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9691, kappa: 0.6686, kb_relative_information_score: 1681.184, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9703, predictive_accuracy: 0.9721, prior_entropy: 0.3037, recall: 0.9721, relative_absolute_error: 0.4937, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.14, root_relative_squared_error: 0.6196, scimark_benchmark: 1762.2405, usercpu_time_millis: 20.882, usercpu_time_millis_testing: 1.729, usercpu_time_millis_training: 19.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9845, kappa: 0.8451, kb_relative_information_score: 3030.1475, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9843, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2505, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.4764, scimark_benchmark: 1868.3779, usercpu_time_millis: 42.599, usercpu_time_millis_testing: 1.929, usercpu_time_millis_training: 40.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9833, kappa: 0.8325, kb_relative_information_score: 2574.878, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9831, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.325, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.5285, scimark_benchmark: 1859.825, usercpu_time_millis: 41.613, usercpu_time_millis_testing: 2.049, usercpu_time_millis_training: 39.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9818, kappa: 0.8148, kb_relative_information_score: 2835.7429, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9817, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.4937, scimark_benchmark: 1854.6858, usercpu_time_millis: 25.938, usercpu_time_millis_testing: 1.898, usercpu_time_millis_training: 24.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9804, kappa: 0.8015, kb_relative_information_score: 2367.242, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9802, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.343, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.5346, scimark_benchmark: 1766.8433, usercpu_time_millis: 19.568, usercpu_time_millis_testing: 1.056, usercpu_time_millis_training: 18.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9713, kappa: 0.6908, kb_relative_information_score: 2141.865, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9735, predictive_accuracy: 0.9744, prior_entropy: 0.3037, recall: 0.9744, relative_absolute_error: 0.4484, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.132, root_relative_squared_error: 0.5845, scimark_benchmark: 1761.3669, usercpu_time_millis: 18.326, usercpu_time_millis_testing: 1.556, usercpu_time_millis_training: 16.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.98, kappa: 0.7952, kb_relative_information_score: 2737.5721, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9801, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.3157, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.5074, scimark_benchmark: 1865.5787, usercpu_time_millis: 23.626, usercpu_time_millis_testing: 2.043, usercpu_time_millis_training: 21.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9748, kappa: 0.7338, kb_relative_information_score: 2386.276, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9758, predictive_accuracy: 0.9769, prior_entropy: 0.3037, recall: 0.9769, relative_absolute_error: 0.3971, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.5572, scimark_benchmark: 1876.6882, usercpu_time_millis: 44.118, usercpu_time_millis_testing: 3.809, usercpu_time_millis_training: 40.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9841, kappa: 0.8421, kb_relative_information_score: 3078.8059, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.984, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.476, scimark_benchmark: 1834.4479, usercpu_time_millis: 45.38, usercpu_time_millis_testing: 2.132, usercpu_time_millis_training: 43.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9845, kappa: 0.8451, kb_relative_information_score: 3047.6772, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9843, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2528, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.4762, scimark_benchmark: 1860.3388, usercpu_time_millis: 30.967, usercpu_time_millis_testing: 1.657, usercpu_time_millis_training: 29.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9725, kappa: 0.7047, kb_relative_information_score: 2036.8092, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9743, predictive_accuracy: 0.9752, prior_entropy: 0.3037, recall: 0.9752, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.5805, scimark_benchmark: 1855.1969, usercpu_time_millis: 28.67, usercpu_time_millis_testing: 2.385, usercpu_time_millis_training: 26.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9824, kappa: 0.8276, kb_relative_information_score: 3069.7555, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9824, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.2301, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1124, root_relative_squared_error: 0.4975, scimark_benchmark: 1854.1776, usercpu_time_millis: 50.157, usercpu_time_millis_testing: 2.023, usercpu_time_millis_training: 48.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9733, kappa: 0.714, kb_relative_information_score: 2271.2416, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.975, predictive_accuracy: 0.9758, prior_entropy: 0.3037, recall: 0.9758, relative_absolute_error: 0.4268, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.572, scimark_benchmark: 1852.4259, usercpu_time_millis: 26.421, usercpu_time_millis_testing: 2.476, usercpu_time_millis_training: 23.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9651, kappa: 0.6226, kb_relative_information_score: 937.7988, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9666, predictive_accuracy: 0.969, prior_entropy: 0.3037, recall: 0.969, relative_absolute_error: 0.6015, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.7043, scimark_benchmark: 1759.309, usercpu_time_millis: 15.611, usercpu_time_millis_testing: 1.064, usercpu_time_millis_training: 14.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9824, kappa: 0.8248, kb_relative_information_score: 2420.5864, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9822, predictive_accuracy: 0.9826, prior_entropy: 0.3037, recall: 0.9826, relative_absolute_error: 0.3343, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.5405, scimark_benchmark: 1856.624, usercpu_time_millis: 27.52, usercpu_time_millis_testing: 1.078, usercpu_time_millis_training: 26.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9758, kappa: 0.7569, kb_relative_information_score: 2072.638, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9755, predictive_accuracy: 0.9764, prior_entropy: 0.3037, recall: 0.9764, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.5892, scimark_benchmark: 1865.6428, usercpu_time_millis: 25.222, usercpu_time_millis_testing: 1.078, usercpu_time_millis_training: 24.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9829, kappa: 0.8267, kb_relative_information_score: 2933.198, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9828, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.291, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.4982, scimark_benchmark: 1758.3277, usercpu_time_millis: 13.037, usercpu_time_millis_testing: 0.67, usercpu_time_millis_training: 12.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9709, kappa: 0.6936, kb_relative_information_score: 1350.5853, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9712, predictive_accuracy: 0.9731, prior_entropy: 0.3037, recall: 0.9731, relative_absolute_error: 0.4747, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.6479, scimark_benchmark: 1733.9151, usercpu_time_millis: 11.923, usercpu_time_millis_testing: 0.658, usercpu_time_millis_training: 11.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.983, kappa: 0.8308, kb_relative_information_score: 2577.407, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9828, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.3168, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.5239, scimark_benchmark: 1868.1196, usercpu_time_millis: 30.1, usercpu_time_millis_testing: 1.292, usercpu_time_millis_training: 28.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9763, kappa: 0.7535, kb_relative_information_score: 2269.7286, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9767, predictive_accuracy: 0.9779, prior_entropy: 0.3037, recall: 0.9779, relative_absolute_error: 0.3903, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.5562, scimark_benchmark: 1758.0842, usercpu_time_millis: 10.791, usercpu_time_millis_testing: 0.53, usercpu_time_millis_training: 10.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9697, kappa: 0.6896, kb_relative_information_score: 1926.6376, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9691, predictive_accuracy: 0.9711, prior_entropy: 0.3037, recall: 0.9711, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.6302, scimark_benchmark: 1861.3749, usercpu_time_millis: 27.133, usercpu_time_millis_testing: 1.274, usercpu_time_millis_training: 25.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9839, kappa: 0.8379, kb_relative_information_score: 2907.5214, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9838, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.4857, scimark_benchmark: 1866.1582, usercpu_time_millis: 46.782, usercpu_time_millis_testing: 2.443, usercpu_time_millis_training: 44.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9584, kappa: 0.5272, kb_relative_information_score: 1200.5412, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9659, predictive_accuracy: 0.9657, prior_entropy: 0.3037, recall: 0.9657, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.6898, scimark_benchmark: 1872.4216, usercpu_time_millis: 19.233, usercpu_time_millis_testing: 2.238, usercpu_time_millis_training: 16.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9738, kappa: 0.7463, kb_relative_information_score: 1952.1453, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9742, predictive_accuracy: 0.9735, prior_entropy: 0.3037, recall: 0.9735, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.6525, scimark_benchmark: 1859.2172, usercpu_time_millis: 26.927, usercpu_time_millis_testing: 0.72, usercpu_time_millis_training: 26.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9813, kappa: 0.8086, kb_relative_information_score: 2483.3142, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9815, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.3479, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.5252, scimark_benchmark: 1864.0845, usercpu_time_millis: 34.234, usercpu_time_millis_testing: 2.164, usercpu_time_millis_training: 32.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9847, kappa: 0.8475, kb_relative_information_score: 3053.1497, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9845, predictive_accuracy: 0.9849, prior_entropy: 0.3037, recall: 0.9849, relative_absolute_error: 0.247, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.4766, scimark_benchmark: 1854.7429, usercpu_time_millis: 37.667, usercpu_time_millis_testing: 1.753, usercpu_time_millis_training: 35.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9694, kappa: 0.6824, kb_relative_information_score: 1588.0846, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9691, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.632, scimark_benchmark: 1762.2405, usercpu_time_millis: 11.685, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 11.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9629, kappa: 0.5863, kb_relative_information_score: 1255.3178, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9676, predictive_accuracy: 0.9684, prior_entropy: 0.3037, recall: 0.9684, relative_absolute_error: 0.5808, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.6726, scimark_benchmark: 1856.9125, usercpu_time_millis: 22.983, usercpu_time_millis_testing: 2.112, usercpu_time_millis_training: 20.871,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

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